A major proportion of your grade
will depend on the accuracy, thoroughness, and clarity of your discussions.

Introduction

Brief description of where your data came from

Definitions of the variables being used.

LogisticRegression

Conduct an all-inclusive logistic regression analysis.

Use a combination of categorical and continuous predictors.

Discuss results, including a consideration of multicollinearity.

Conduct a stepwise logistic regression analysis.

Use the same variables as in the all-inclusive model.

Interpret the results at each step.

Compare to the all-inclusive model.

Log-linearAnalysis

Conduct a log-linear analysis.

Use the same outcome as in the logistic regression
analysis.

Use two or more categorical predictors.

Interpret results, including the use of graphs.

Compare the results to the logistic regression results.

MultivariateAnalysisofVariance

Conduct a MANOVA with two or more continuous outcomes
and one categorical predictor.

Discuss results and assumptions.

Conduct a MANOVA with the same two or more continuous
outcomes and two or more categorical predictors.

Discuss results and assumptions.

Summary

Discuss what did and what did not influence your
outcome variable.

Among the analyses conducted, which seem to be the
most appropriate and useful?

A major proportion of your grade will depend on
the accuracy, thoroughness, and clarity of your discussions.

Page editor is Julia
Hartman.
Last modified December 17, 2002.The information in this site is current through August 15,
2002.

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